Cooperative Algorithm for Cognitive Radio Networks Which is Based on Adaptive Election

Recently many researchers devote themselves to scheming new protocols for sensing, mining and managing spectrum efficiently. In this paper, we identify the trends that mobility of cognitive users should be considered in near future and fixed cooperation models have limited value in multiple cognitive user networks. Associated with smart antenna communication system approach, we propose an intelligent cooperation model which is based on adaptive election rules. Besides, we present how to search useful relay notes when cognitive user are finding good partners to detect primary user. Furthermore, we illustrate this new method and show you how to accelerate the process of searching optimal relay user and promote detection agility. Finally, we simulate our algorithm by using network simulation platform and conclude with several open research issues of this new algorithm.